Study and validation of an explainable machine learning-based mortality prediction following emergency surgery in the elderly: a prospective observational study
Introduction The heterogeneity of procedures and the variety of comorbidities of the patients
undergoing surgery in an emergency setting makes perioperative risk stratification …
undergoing surgery in an emergency setting makes perioperative risk stratification …
Assessing the utility of a sliding-windows deep neural network approach for risk prediction of trauma patients
A Bonde, M Bonde, A Troelsen, M Sillesen - Scientific Reports, 2023 - nature.com
The risks of post trauma complications are regulated by the injury, comorbidities, and the
clinical trajectories, yet prediction models are often limited to single time-point data. We …
clinical trajectories, yet prediction models are often limited to single time-point data. We …
Prognosis at your fingertips: a machine learning-based web application for outcome prediction in acute traumatic epidural hematoma
M Karabacak, K Margetis - Journal of Neurotrauma, 2024 - liebertpub.com
Traumatic brain injury (TBI) affects 69 million people worldwide each year, and acute
traumatic epidural hematoma (atEDH) is a frequent and severe consequence of TBI. The …
traumatic epidural hematoma (atEDH) is a frequent and severe consequence of TBI. The …
Analysis of the risk factors for De Novo subdural hygroma in patients with traumatic brain injury using predictive modeling and association rule mining
KH Kim, BJ Lee, HW Koo - Applied Sciences, 2023 - mdpi.com
The relationship between risk factors for de novo hygroma in patients with traumatic brain
injury (TBI) was investigated. We collected data on 222 patients with TBI to determine the …
injury (TBI) was investigated. We collected data on 222 patients with TBI to determine the …
Transfer learning from healthy to unhealthy patients for the automated classification of functional brain networks in fmri
LE Ismaila, P Rasti, F Bernard, M Labriffe, P Menei… - Applied Sciences, 2022 - mdpi.com
Functional Magnetic Resonance Imaging (fMRI) is an essential tool for the pre-surgical
planning of brain tumor removal, which allows the identification of functional brain networks …
planning of brain tumor removal, which allows the identification of functional brain networks …
Refining outcome prediction after traumatic brain injury with machine learning algorithms
Outcome after traumatic brain injury (TBI) is typically assessed using the Glasgow outcome
scale extended (GOSE) with levels from 1 (death) to 8 (upper good recovery). Outcome …
scale extended (GOSE) with levels from 1 (death) to 8 (upper good recovery). Outcome …
Recent advancement of analytical approaches for assessing Ataxia telangiectasia mutated kinase inhibitors in Ataxia telangiectasia: An overview
Ataxia telangiectasia, one of the rare human autosomal recessive disorders, results from a
mutation in the Ataxia telangiectasia mutated kinase (ATM) gene, leading to high …
mutation in the Ataxia telangiectasia mutated kinase (ATM) gene, leading to high …
A methodology to compare biomechanical simulations with clinical brain imaging analysis utilizing two blunt impact cases
XG Tan, VSSS Sajja, MM D'Souza… - … in Bioengineering and …, 2021 - frontiersin.org
According to the US Defense and Veterans Brain Injury Center (DVBIC) and Centers for
Disease Control and Prevention (CDC), mild traumatic brain injury (mTBI) is a common form …
Disease Control and Prevention (CDC), mild traumatic brain injury (mTBI) is a common form …
Prediction of mortality among patients with isolated traumatic brain injury using machine learning models in Asian countries: An international multi-center cohort study
J Song, SD Shin, SF Jamaluddin, WC Chiang… - Journal of …, 2023 - liebertpub.com
Traumatic brain injury (TBI) is a significant healthcare concern in several countries,
accounting for a major burden of morbidity, mortality, disability, and socioeconomic losses …
accounting for a major burden of morbidity, mortality, disability, and socioeconomic losses …
Machine learning‐based models to predict the need for neurosurgical intervention after moderate traumatic brain injury
A Habibzadeh, S Khademolhosseini… - Health Science …, 2023 - Wiley Online Library
Abstract Background and Aims Traumatic brain injury (TBI) is a widespread global health
issue with significant economic consequences. However, no existing model exists to predict …
issue with significant economic consequences. However, no existing model exists to predict …